Docsumo

Make fast & accurate decisions from unstructured documents. Document AI software that converts unstructured documents to actionable data.

Integrate the Docsumo API with the Python API

Setup the Docsumo API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Docsumo and Python remarkably fast. Free for developers.

Run Python Code with Python API on New Document Status Changed from Docsumo API
Docsumo + Python
 
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New Document Status Changed from the Docsumo API

Emit new event when document status is changed

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Upload Document with the Docsumo API

Upload file using URL or base64 See the documentation.

 
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Overview of Docsumo

The Docsumo API offers robust capabilities for extracting and processing data from various types of documents, like invoices, receipts, and bank statements. It applies intelligent OCR (Optical Character Recognition) to transform unstructured documents into structured data. With Pipedream, you can harness this power to automate workflows, such as digitizing financial records, validating document data, or integrating extracted information into databases or other apps, all with minimal code.

Connect Docsumo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    docsumo: {
      type: "app",
      app: "docsumo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.docsumo.com/api/v1/eevee/apikey/limit/`,
      headers: {
        "X-API-KEY": `${this.docsumo.$auth.api_key}`,
      },
    })
  },
})

Overview of Python

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}